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    This document provides an introduction and overview for the EE 445S Real-Time Digital Signal Processing Lab course at the University of Texas at Austin for Fall 2012. It outlines the course objectives, topics, prerequisites, textbooks, grading policy, and schedule. The course aims to help students build an intuition for digital signal processing concepts and explore design tradeoffs by designing and implementing a real-time digital communication system in the laboratory. Key topics include digital signal processing algorithms, digital modulation and demodulation techniques, and digital signal processor architectures.

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    This document provides an introduction and overview for the EE 445S Real-Time Digital Signal Processing Lab course at the University of Texas at Austin for Fall 2012. It outlines the course objectives, topics, prerequisites, textbooks, grading policy, and schedule. The course aims to help students build an intuition for digital signal processing concepts and explore design tradeoffs by designing and implementing a real-time digital communication system in the laboratory. Key topics include digital signal processing algorithms, digital modulation and demodulation techniques, and digital signal processor architectures.

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    This document provides an introduction and overview for the EE 445S Real-Time Digital Signal Processing Lab course at the University of Texas at Austin for Fall 2012. It outlines the course objectives, topics, prerequisites, textbooks, grading policy, and schedule. The course aims to help students build an intuition for digital signal processing concepts and explore design tradeoffs by designing and implementing a real-time digital communication system in the laboratory. Key topics include digital signal processing algorithms, digital modulation and demodulation techniques, and digital signal processor architectures.

    Copyright:

    Attribution Non-Commercial (BY-NC)
    Download as PPT, PDF, TXT or read online from Scribd
    Download as ppt, pdf, or txt
    110 views23 pages

    Lecture 0

    Uploaded by

    Abhilash OS
    This document provides an introduction and overview for the EE 445S Real-Time Digital Signal Processing Lab course at the University of Texas at Austin for Fall 2012. It outlines the course objectives, topics, prerequisites, textbooks, grading policy, and schedule. The course aims to help students build an intuition for digital signal processing concepts and explore design tradeoffs by designing and implementing a real-time digital communication system in the laboratory. Key topics include digital signal processing algorithms, digital modulation and demodulation techniques, and digital signal processor architectures.

    Copyright:

    Attribution Non-Commercial (BY-NC)
    Download as PPT, PDF, TXT or read online from Scribd
    Download as ppt, pdf, or txt
    of 23

    EE 445S Real-Time Digital Signal Processing Lab

    Fall 2012

    Introduction
    Prof. Brian L. Evans Dept. of Electrical and Computer Engineering The University of Texas at Austin

    Lecture 0

    http://courses.utexas.edu/

    Outline
    Introduction

    Communication systems
    Single carrier transceiver Multicarrier transceivers Conclusion

    0-2

    Introduction

    Instructional Staff
    Prof. Brian L. Evans
    Conducts research in digital communication, digital image processing & embedded systems Past and current projects on next two slides Office hours: M 12:00-12:30pm, T 1:30-3:00pm and F 9:45-10:45am Extra office hours at a local caf F 12:00-2:00 pm

    Teaching assistants
    Ms. Debarati Kundu Mr. Andrew Mark Lab sections: M & T Lab sections: W & F Office hours: Office hours: TH 3:30-6:30pm TH 12:30-3:30pm

    Introduction

    Completed Research Projects


    20 PhD and 9 MS alumni

    System ADSL

    Contribution equalization MIMO testbed

    SW release Matlab LabVIEW

    Prototype DSP/C LabVIEW/PXI

    Companies Freescale, TI Oil&Gas

    Wimax/LTE
    Camera Display EDA tools

    resource allocation
    image acquisition image halftoning video halftoning fixed point conv.

    LabVIEW
    Matlab Matlab Matlab Matlab

    DSP/C
    DSP/C C C FPGA

    Freescale, TI
    Intel, Ricoh HP, Xerox Qualcomm Intel, NI

    distributed comp.

    Linux/C++
    EDA LTE PXI

    Navy sonar

    Navy, NI

    DSP Digital Signal Processor FPGA Field Programmable Gate Array MIMO Multi-Input Multi-Output

    Electronic Design Automation Long-Term Evolution (cellular) PCI Extensions for Instrumentation

    Introduction

    Current Research Projects


    6 PhD and 4 MS students

    System

    Contributions

    SW release

    Prototype

    Companies

    Powerline comm.
    Wimax/ WiFi

    Noise/interference mitigation; testbed


    Interference mitigation Time-based ADC

    LabVIEW LabVIEW/PXI
    Matlab FPGA IBM 45nm chip Matlab Matlab Lake Travis testbed Android

    Freescale, IBM, SRC, TI


    Intel, NI

    Underwater MIMO testbed; comm. Space-time meth. Cell phone camera reducing rolling shutter artifacts

    Navy TI

    EDA Tools

    reliability patterns
    EDA PXI

    NI
    Electronic Design Automation PCI Extensions for Instrumentation

    ADC Analog-to-Digital Converter MIMO Multi-Input Multi-Output

    Introduction

    Overview
    Objectives
    Build intuition for signal processing concepts Explore design tradeoffs in signal quality vs. implementation complexity

    Lecture: breadth (three hours/week)


    Digital signal processing (DSP) algorithms Digital communication systems Digital signal processor (DSP) architectures

    32-bit DSP in Laboratory: depth (three hours/week) home theater Translate signal processing concepts into real-time software Design/implement voiceband transceiver Test/validate implementation
    0-6

    Introduction

    Pre-Requisites and Co-Requisites


    Pre-Requisites
    EE 312 Introduction to Programming: C programming; arrays and circular buffers; and asymptotic analysis EE 313 Linear Systems and Signals OR BME 343 Biomedical Signal and System Analysis: convolution, transfer functions, frequency responses, filtering EE 319K Intro. to Embedded Systems: assembly and C languages, microprocessor organization, quantization

    Co-Requisites
    EE 351K Probability, Statistics & Random Processes OR BME 335 Engineering Probability and Statistics: Gaussian and uniform distributions, noise models, autocorrelation BME/EE 333T Eng. Communication: technical writing
    0-7

    Introduction

    Detailed Topics
    Digital signal processing algorithms/applications
    Signals, convolution and sampling (BME 343/EE 313) Transfer functions & freq. responses (BME 343/EE 313) Filter design & implementation, signal-to-noise ratio Quantization (EE 319K) and data conversion

    Digital communication algorithms/applications


    Analog modulation/demodulation (BME 343/EE 313) Digital modulation/demodulation, pulse shaping, pseudo noise Signal quality: matched filtering, bit error probability

    Digital signal processor (DSP) architectures


    Assembly language, interfacing, pipelining (EE 319K) Harvard architecture, addressing modes, real-time prog.
    0-8

    Introduction

    Required Textbooks
    Software Receiver Design, Oct. 2011
    Design of digital communication systems Convert algorithms into Rick Johnson Bill Sethares Andy Klein Matlab simulations (Cornell) (WPI) (Wisconsin)

    Real-Time Digital Signal Processing from Matlab to C with TMS320C6x DSPs, Jan. 2012

    U T

    Thad Welch (Boise State)

    Cameron Michael Wright Morrow 0-9 (Wyoming) (Wisconsin)

    Introduction

    Supplemental (Optional) Textbooks


    J. H. McClellan, R. W. Schafer & M. A. Yoder, DSP First: A Multimedia Approach, 1998 Schafers
    DSP theory and algorithms at sophomore level Demos: http://users.ece.gatech.edu/~dspfirst/
    1975 book established DSP field

    B. P. Lathi, Linear Systems & Signals, or M. J. Roberts, Signals and Systems


    Textbook for pre-requisite signals & systems course

    Steve Smith, The Scientist and Engineers Guide to Digital Signal Processing, 1997
    Available free online: http://www.dspguide.com
    0-10

    Introduction

    Related BS ECE Technical Areas


    Signal/image processing
    EE445S Real-Time DSP Lab EE351M DSP (theory) EE371R Digital Image/ Video Processing EE379K Intro. to Data Mining

    Communication/networking
    EE445S Real-Time DSP Lab EE360K Digital Comm. EE471C Wireless Comm. Lab EE372N Telecom. Net.

    Embedded Systems
    EE345M Embedded and Real-Time Systems EE445S Real-Time DSP Lab EE360M Dig. Sys. Des. (FPGAs) EE460N Computer Architecture EE460R Intro to VLSI Design

    Courses with highest workload?


    Undergraduate students may take grad courses upon request

    Introduction

    Grading
    Calculation of numeric grades
    20% midterm #1 20% midterm #2 16% homework (drop lowest grade of nine) 5% pre-lab quizzes (drop lowest grade of six) 39% lab reports (drop lowest grade of seven)
    Average GPA has been ~3.1 MyEdu.com No final exam

    20% midterm exams


    Focus on design tradeoffs in signal quality vs. complexity Based on in-lecture discussion and homework assignments Open books, open notes, open computer (but no networking) Dozens of old midterm exams in course reader Test dates on course descriptor
    0-12

    Introduction

    Grading
    16% homework nine assignments
    Strengthen theory and analysis Translate signal processing concepts into Matlab simulations Evaluate design tradeoffs in signal quality vs. complexity Discuss questions but submit your own independent solutions

    5% pre-lab quizzes for lab assignments 2-7


    10 questions on course Blackboard site taken individually

    39% lab reports


    Work individually on labs 1 and 7 Work in team of two on labs 2-6 and receive same base grade Attendance/participation in lab section required and graded
    0-13

    Introduction

    Maximizing Your Numeric Grade


    Attend every lecture
    Most important information not on slides [fall 2010 student]
    Spring 2011 Lowest Lecture Zeros on Grades Absences homework 55.13 10 6

    Complete every homework Submit only your own work


    Individual work on all homework assignments, lab 1/7 reports and all pre-lab quizzes Lab team on lab 2-6 reports Cite sources for all other work

    68.12
    73.96 74.43 74.80 74.90

    10
    0 5 12 2

    6
    0 4 2 1

    75.89

    In May 2006, William Swanson, CEO of Raytheon was docked approximately US $1 million in pay by the company after it was revealed he had plagiarized 16 of the 33 rules in his popular 2004 book, Swanson's Unwritten Rules of Management.
    [Sept. 8, 2006, issue of IEEE's The Institute electronic newsletter]
    0-14

    Communication Systems

    Communication System Structure


    Information sources
    Voice, music, images, video, and data (message signal m(t)) Have power concentrated near DC (called baseband signals)

    Baseband processing in transmitter


    Lowpass filter message signal (e.g. AM/FM radio) Digital: Add redundancy to message bit stream to aid receiver in detecting and possibly correcting bit errors
    Baseband Processing Carrier Circuits
    s(t)

    m(t)

    Transmission Medium
    CHANNEL
    r(t)

    Carrier Circuits

    Baseband Processing m(t )

    TRANSMITTER

    RECEIVER
    0-15

    Communication Systems

    Communication System Structure


    Carrier circuits in transmitter
    Upconvert baseband signal into transmission band F(w) S(w) F(w + w0) F(w - w0)
    1 -w1 0 w1

    -w0 - w1

    Baseband signal

    -w0

    -w0 + w1

    w0 - w1

    Upconverted signal

    w0

    w0 + w1

    Then apply bandpass filter to enforce transmission band


    Baseband Processing Carrier Circuits
    s(t)

    m(t)

    Transmission Medium
    CHANNEL
    r(t)

    Carrier Circuits

    Baseband Processing m(t )

    TRANSMITTER

    RECEIVER
    0-16

    Communication Systems

    Communication System Structure


    Channel wired or wireless
    Propagating signals spread and attenuate over distance Boosting improves signal strength and reduces noise

    Receiver
    Carrier circuits downconvert bandpass signal to baseband Baseband processing extracts/enhances message signal

    m(t)

    Baseband Processing

    Carrier Circuits
    s(t)

    Transmission Medium
    CHANNEL
    r(t)

    Carrier Circuits

    Baseband Processing m(t )

    TRANSMITTER

    RECEIVER
    0-17

    Single Carrier Transceivers

    Single Carrier Transceiver Design


    Design/implement transceiver
    Design different algorithms for each subsystem Translate algorithms into real-time software Test implementations using signal generators & oscilloscopes
    Laboratory 1 introduction 2 sinusoidal generation 3(a) finite impulse response filter 3(b) infinite impulse response filter Transceiver Subsystems block diagram of transmitter sinusoidal mod/demodulation pulse shaping, 90o phase shift transmit and receive filters, carrier detection, clock recovery 4 pseudo-noise generation training sequences 5 pulse amplitude mod/demodulation training during modem startup 6 quadrature amplitude mod (QAM) data transmission 0-18 7 digital audio effects not applicable

    Single Carrier Transceivers

    Lab 1: QAM Transmitter Demo


    Lab 4 http://www.ece.utexas.edu/~bevans/courses/realtime/demonstration Rate Control

    Reference design in LabVIEW


    Lab 6 QAM Encoder

    Lab 2 Bandpass Signal

    Lab 3 Tx Filters

    LabVIEW demo by Zukang Shen (UT Austin)

    0-19

    Single Carrier Transceivers

    Lab 1: QAM Transmitter Demo


    LabVIEW control panel
    Eye diagram
    LabVIEW demo by Zukang Shen (UT Austin)

    QAM baseband signal

    0-20

    Single Carrier Transceivers

    Lab 1: QAM Transmitter Demo


    Square root raised cosine, roll-off = 0.75, SNR = Baseband signal for 1200 bps mode

    Raised cosine, roll-off = 1, SNR = 30 dB

    Baseband signal for 2400 bps mode

    0-21

    Multicarrier Transceivers

    Got Anything Faster?


    Multicarrier modulation divides broadband (wideband) channel into narrowband subchannels
    Uses Fourier series computed by fast Fourier transform (FFT) Standardized for ADSL (1995) & VDSL (2003) wired modems Standardized for IEEE 802.11a/g wireless LAN Standardized for IEEE 802.16d/e (Wimax) and cellular (3G/4G)
    magnitude channel carrier subchannel frequency Each ADSL/VDSL subchannel is 4.3 kHz wide (about width of voiceband channel) and carries a QAM signal
    0-22

    Conclusion
    Objectives
    Build intuition for signal processing concepts Translate signal processing concepts into real-time digital communications software
    Plug into network of 1,300+ course alumni

    Deliverables and takeaways


    Tradeoffs of signal quality vs. implementation complexity Design/implement voiceband transceiver in real time Test/validate implementation

    Role of technology

    Matlab for algorithm development TI DSPs and Code Composer Studio for real-time prototyping LabVIEW for reference system design and simulation
    0-23

    All software/hardware used lead in usage in their respective markets

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